Chenyu Li

Distilling Deep Neural Networks for Robust Classification with Soft Decision Trees

2018

Recent deep neural networks have achieved impressive performance in image classification. However, these networks are sensitive to the attack of adversarial examples, leading to a sharp drop in accuracy. To address this issue, this paper …

Experimenting with an Evaluation Framework for Imbalanced Data Learning (EFIDL)

2023 · arXiv (Cornell University)

Introduction Data imbalance is one of the crucial issues in big data analysis with fewer labels. For example, in real-world healthcare data, spam detection labels, and financial fraud detection datasets. Many data balance methods were …